An Apparatus and a Method for Automatic Treatment Adjustment After Nervous System Dysfunction

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This invention describes an apparatus and method that use data-driven prediction models to automatically adjust treatment for patients suffering from nervous system dysfunctions that impair sensory functions (such as vision, hearing, or touch). By collecting sensory data from the patient and comparing it with data from reference groups, the system uses machine learning algorithms to predict recovery outcomes and optimize treatment parameters for each individual, making therapy more personalized and effective.

Use CasesContent extracted from patent full text and abstract with AI.

• Personalized visual rehabilitation for patients with brain injuries, stroke, or tumors affecting vision.
• Adaptive treatment in audiology for patients with hearing loss caused by nervous system damage.
• Customized recovery protocols for patients with impaired touch sensation due to nerve injury.
• Clinical decision support for physicians planning sensory rehabilitation therapies.
• Automated optimization of neurostimulation parameters in rehabilitation devices.

BenefitsContent extracted from patent full text and abstract with AI.

• Treatments are individualized based on predicted patient-specific outcomes, leading to potentially better recovery.
• Use of machine learning and large datasets enables more accurate prediction of which patients/areas will most benefit from therapy.
• Automation reduces reliance on trial-and-error and physician intuition, increasing treatment efficiency.
• Feedback-based parameter adjustment can dynamically optimize therapy as patient responses evolve.
• Applicable to multiple types of sensory dysfunction (visual, auditory, or tactile), broadening clinical impact.

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Patent Abstract

The present invention relates to an apparatus for automatic adjustment of a treatment of a target person to be treated based on calculated recovery prediction data for predicting a change of a sensory function of said target person in response to said treatment.